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Record W4401648677 · doi:10.1177/01650254241268561

A longitudinal study of parents’ home-safety practices to prevent injuries during infancy

2024· article· en· W4401648677 on OpenAlexafffund
Barbara A. Morrongiello, Amanda Cox, Lindsay Bryant

Bibliographic record

VenueInternational Journal of Behavioral Development · 2024
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsUniversity of Guelph
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOccupational safety and healthInjury preventionPsychologyHuman factors and ergonomicsSuicide preventionPoison controlDevelopmental psychologySittingMotor skillMedicineEnvironmental health

Abstract

fetched live from OpenAlex

Unintentional injury represents a significant health threat to children, and infancy marks a particularly vulnerable stage. This multi-method study (questionnaire, diary) measured parents’ ( N = 143) use of three popular home-safety practices (teaching about safety, environment modification to reduce access to hazards, supervision) and child injury rates at two stages of motor development during infancy (sitting, walking). Associations between these three safety practices and parental beliefs (protectiveness needed, perceived benefits of the child experiencing minor injuries) were examined, as was the effectiveness of these three practices to prevent injury. Results revealed that different parental beliefs were associated with implementing different safety strategies at each motor development stage. Strategies were differentially effective depending on mobility status of the infant, with supervision being the only strategy that was effective to prevent injury at both motor development stages. Implications for developing safety messages to promote parents’ injury-prevention strategies are discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.069
GPT teacher head0.436
Teacher spread0.367 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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